Hengbiao Zheng

Orcid: 0009-0008-4778-0450

According to our database1, Hengbiao Zheng authored at least 30 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Estimation of Rice Leaf Area Index Utilizing a Kalman Filter Fusion Methodology Based on Multi-Spectral Data Obtained from Unmanned Aerial Vehicles (UAVs).
Remote. Sens., June, 2024

Quantify Wheat Canopy Leaf Angle Distribution Using Terrestrial Laser Scanning Data.
IEEE Trans. Geosci. Remote. Sens., 2024

Assessing the Sensitivity of Semiempirical Models to Spectral Data Quality and Sensor Settings When Estimating Leaf Chlorophyll Content.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Rapidly count crop seedling emergence based on waveform Method(WM) using drone imagery at the early stage.
Comput. Electron. Agric., 2024

Enhancing fusarium head blight detection in wheat crops using hyperspectral indices and machine learning classifiers.
Comput. Electron. Agric., 2024

A chlorophyll-constrained semi-empirical model for estimating leaf area index using a red-edge vegetation index.
Comput. Electron. Agric., 2024

2023
Towards practical semi-empirical models for the estimation of leaf and canopy water contents from hyperspectral reflectance.
Comput. Electron. Agric., November, 2023

2022
MACA: A Relative Radiometric Correction Method for Multiflight Unmanned Aerial Vehicle Images Based on Concurrent Satellite Imagery.
IEEE Trans. Geosci. Remote. Sens., 2022

Hyperspectral Reflectance Proxies to Diagnose In-Field Fusarium Head Blight in Wheat with Machine Learning.
Remote. Sens., 2022

Adaptive enhanced swin transformer with U-net for remote sensing image segmentation.
Comput. Electr. Eng., 2022

2021
AAVI: A Novel Approach to Estimating Leaf Nitrogen Concentration in Rice From Unmanned Aerial Vehicle Multispectral Imagery at Early and Middle Growth Stages.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Combining Remote Sensing and Meteorological Data for Improved Rice Plant Potassium Content Estimation.
Remote. Sens., 2021

AGTOC: A novel approach to winter wheat mapping by automatic generation of training samples and one-class classification on Google Earth Engine.
Int. J. Appl. Earth Obs. Geoinformation, 2021

Improving Unmanned Aerial Vehicle (UAV) remote sensing of rice plant potassium accumulation by fusing spectral and textural information.
Int. J. Appl. Earth Obs. Geoinformation, 2021

2020
Enhancing the Nitrogen Signals of Rice Canopies across Critical Growth Stages through the Integration of Textural and Spectral Information from Unmanned Aerial Vehicle (UAV) Multispectral Imagery.
Remote. Sens., 2020

Estimation of Canopy Biomass Components in Paddy Rice from Combined Optical and SAR Data Using Multi-Target Gaussian Regressor Stacking.
Remote. Sens., 2020

Early season detection of rice plants using RGB, NIR-G-B and multispectral images from unmanned aerial vehicle (UAV).
Comput. Electron. Agric., 2020

DESTIN: A new method for delineating the boundaries of crop fields by fusing spatial and temporal information from WorldView and Planet satellite imagery.
Comput. Electron. Agric., 2020

Estimating aboveground and organ biomass of plant canopies across the entire season of rice growth with terrestrial laser scanning.
Int. J. Appl. Earth Obs. Geoinformation, 2020

2019
Analysis and Evaluation of the Image Preprocessing Process of a Six-Band Multispectral Camera Mounted on an Unmanned Aerial Vehicle for Winter Wheat Monitoring.
Sensors, 2019

Combining Color Indices and Textures of UAV-Based Digital Imagery for Rice LAI Estimation.
Remote. Sens., 2019

Using Digital Cameras on an Unmanned Aerial Vehicle to Derive Optimum Color Vegetation Indices for Leaf Nitrogen Concentration Monitoring in Winter Wheat.
Remote. Sens., 2019

Exploiting the Textural Information of UAV Multispectral Imagery to Monitor Nitrogen Status in Rice.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
A Comparative Assessment of Different Modeling Algorithms for Estimating Leaf Nitrogen Content in Winter Wheat Using Multispectral Images from an Unmanned Aerial Vehicle.
Remote. Sens., 2018

Evaluation of RGB, Color-Infrared and Multispectral Images Acquired from Unmanned Aerial Systems for the Estimation of Nitrogen Accumulation in Rice.
Remote. Sens., 2018

BRDF Effect on the Estimation of Canopy Chlorophyll Content in Paddy Rice from UAV-Based Hyperspectral Imagery.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Using an Active-Optical Sensor to Develop an Optimal NDVI Dynamic Model for High-Yield Rice Production (Yangtze, China).
Sensors, 2017

Spectroscopic Estimation of Biomass in Canopy Components of Paddy Rice Using Dry Matter and Chlorophyll Indices.
Remote. Sens., 2017

2016
Evaluation of a UAV-based hyperspectral frame camera for monitoring the leaf nitrogen concentration in rice.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Towards decomposing the effects of foliar nitrogen content and canopy structure on rice canopy spectral variability through multi-scale spectral analysis.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016


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